End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: facebook/wav2vec2-base
+base_model: Samuael/asr-alffamharic-phoneme-based
 tags:
 - generated_from_trainer
 model-index:
@@ -13,15 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # asr-alffamharic-phoneme-based
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+This model is a fine-tuned version of [Samuael/asr-alffamharic-phoneme-based](https://huggingface.co/Samuael/asr-alffamharic-phoneme-based) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.5818
-- eval_wer: 0.6850
-- eval_runtime: 35.1957
-- eval_samples_per_second: 10.2
-- eval_steps_per_second: 1.279
-- epoch: 3.2
-- step: 1200
+- eval_loss: 0.4073
+- eval_wer: 0.5289
+- eval_runtime: 21.4563
+- eval_samples_per_second: 16.732
+- eval_steps_per_second: 2.097
+- epoch: 5.32
+- step: 1000
 
 ## Model description
 
@@ -40,14 +40,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
-- train_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1000
-- num_epochs: 30
+- num_epochs: 20
 
 ### Framework versions
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/wav2vec2-base",
+  "_name_or_path": "Samuael/asr-alffamharic-phoneme-based",
   "activation_dropout": 0.0,
   "adapter_attn_dim": null,
   "adapter_kernel_size": 3,

pytorch_model.bin

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training_args.bin

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